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03/01/2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
We propose a novel approach to addressing two fundamental challenges in ...
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11/10/2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
Image restoration tasks have achieved tremendous performance improvement...
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10/30/2022
Representation Learning for General-sum Low-rank Markov Games
We study multi-agent general-sum Markov games with nonlinear function ap...
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10/13/2022
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient
We consider a hybrid reinforcement learning setting (Hybrid RL), in whic...
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09/23/2022
Modular Degradation Simulation and Restoration for Under-Display Camera
Under-display camera (UDC) provides an elegant solution for full-screen ...
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09/23/2022
Rethinking Performance Gains in Image Dehazing Networks
Image dehazing is an active topic in low-level vision, and many image de...
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05/29/2022
Provable Benefits of Representational Transfer in Reinforcement Learning
We study the problem of representational transfer in RL, where an agent ...
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04/08/2022
Vision Transformers for Single Image Dehazing
Image dehazing is a representative low-level vision task that estimates ...
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03/15/2022
Multi-Curve Translator for Real-Time High-Resolution Image-to-Image Translation
The dominant image-to-image translation methods are based on fully convo...
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01/31/2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach
We present BRIEE (Block-structured Representation learning with Interlea...
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07/27/2021
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
Image enhancement is a subjective process whose targets vary with user p...
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07/15/2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
Model-based Reinforcement Learning (RL) is a popular learning paradigm d...
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06/14/2020